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Diffstat (limited to 'extern/Eigen3/Eigen/src/Sparse/SparseRedux.h')
-rw-r--r--extern/Eigen3/Eigen/src/Sparse/SparseRedux.h56
1 files changed, 56 insertions, 0 deletions
diff --git a/extern/Eigen3/Eigen/src/Sparse/SparseRedux.h b/extern/Eigen3/Eigen/src/Sparse/SparseRedux.h
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index 00000000000..afc49de7aad
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+++ b/extern/Eigen3/Eigen/src/Sparse/SparseRedux.h
@@ -0,0 +1,56 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// Eigen is free software; you can redistribute it and/or
+// modify it under the terms of the GNU Lesser General Public
+// License as published by the Free Software Foundation; either
+// version 3 of the License, or (at your option) any later version.
+//
+// Alternatively, you can redistribute it and/or
+// modify it under the terms of the GNU General Public License as
+// published by the Free Software Foundation; either version 2 of
+// the License, or (at your option) any later version.
+//
+// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
+// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
+// GNU General Public License for more details.
+//
+// You should have received a copy of the GNU Lesser General Public
+// License and a copy of the GNU General Public License along with
+// Eigen. If not, see <http://www.gnu.org/licenses/>.
+
+#ifndef EIGEN_SPARSEREDUX_H
+#define EIGEN_SPARSEREDUX_H
+
+template<typename Derived>
+typename internal::traits<Derived>::Scalar
+SparseMatrixBase<Derived>::sum() const
+{
+ eigen_assert(rows()>0 && cols()>0 && "you are using a non initialized matrix");
+ Scalar res = 0;
+ for (Index j=0; j<outerSize(); ++j)
+ for (typename Derived::InnerIterator iter(derived(),j); iter; ++iter)
+ res += iter.value();
+ return res;
+}
+
+template<typename _Scalar, int _Options, typename _Index>
+typename internal::traits<SparseMatrix<_Scalar,_Options,_Index> >::Scalar
+SparseMatrix<_Scalar,_Options,_Index>::sum() const
+{
+ eigen_assert(rows()>0 && cols()>0 && "you are using a non initialized matrix");
+ return Matrix<Scalar,1,Dynamic>::Map(&m_data.value(0), m_data.size()).sum();
+}
+
+template<typename _Scalar, int _Options, typename _Index>
+typename internal::traits<SparseVector<_Scalar,_Options, _Index> >::Scalar
+SparseVector<_Scalar,_Options,_Index>::sum() const
+{
+ eigen_assert(rows()>0 && cols()>0 && "you are using a non initialized matrix");
+ return Matrix<Scalar,1,Dynamic>::Map(&m_data.value(0), m_data.size()).sum();
+}
+
+#endif // EIGEN_SPARSEREDUX_H